JP2009015589A - System and program for presenting related document - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide a system capable of automatically finding any unexpected relationship linking a plurality of documents together, and accordingly presenting a list of a plurality of documents related to a particular document. <P>SOLUTION: The system 10 for presenting related documents includes a document file storage part 14 and a relationship table 18. The system also includes a data management part 12 which executes a process for extracting any document file containing a search keyword from the document file storage part 14 when the search keyword is input, a process for storing association data comprising a combination of the ID of each document file and the search keyword in the relationship table 18, a process for extracting a corresponding document file from the document file storage part 14 when a request to view a particular document is input, a process for searching the relationship table 18 using the ID of the document file as a key, and specifying the associated search keyword, a process for specifying another document file associated therewith, a process for creating a list of related documents where the attributes of each document file are written, a process for creating a screen for displaying the list of related documents and the content of the particular document, and a process for outputting the screen. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a related document presentation system and program, and more particularly, to a technique capable of extracting a document related to a specific document requested by a user and presenting the list together with the content of the specific document.

When a specific document is displayed on the display from a large number of documents stored in the database, a list of documents related to the document is displayed at the same time so that it can be viewed as appropriate. Match.
For example, when requesting the display of a specific article on a news site on the Internet, the title + date of another article dealing with the same incident as the article is displayed under the title of “Related Article” along with the detailed information of the article. Listed. On the other hand, when the user clicks on any title in the list, the detailed information of the article is displayed on the display. As a result, the user can comprehensively check related articles.
YOMIURI ONLINE [Search June 6, 2007] Internet URL: http://www.yomiuri.co.jp/index.htm

However, in the related document presentation system in the related art, since a specific person basically performs association between documents, a document such as a newspaper article that can grasp rough contents by headline and is relatively easy to associate. There is a problem in that it cannot be applied to documents with a large number of cases, such as articles posted on bulletin boards and articles on Web logs (hereinafter referred to as “blogs”).
In addition, as in the case of newspaper articles, there is a merit that the accuracy of the relevance is ensured when relating by the judgment of a specific person, but on the other hand, the document is based on a hidden relevance that the person does not notice I couldn't expect to link each other, and I couldn't expect to find an unexpected relationship. By the way, it is possible to obtain a list of highly relevant articles by using the search function of the website, even for posted articles on the previous bulletin board and blog articles, but in this case also try to search A document including the search keyword set by the user is extracted, and only an expected result can be obtained.

  The present invention has been devised in order to solve the above-described conventional problems, and based on this, an unexpected relationship that connects a plurality of documents is found without going through intentional and artificial association work. An object of the present invention is to provide a system capable of presenting a list of a plurality of documents related to a specific document.

In order to achieve the above object, the related document presentation system according to claim 1 stores document file storage means storing a plurality of document files, and association data comprising combinations of document file IDs and search keywords. Relevance storage means, and when a search keyword is input, a process for extracting a document file containing the search keyword in the text from the document file storage means, and attributes of each extracted document file Stored in the relevance storage means is a process for generating a screen including the listed search result list, a process for outputting this screen, and association data comprising a combination of the ID of each extracted document file and the search keyword. When a process and a browsing request for a specific document stored in the document file storage means are input, the corresponding document file , A process for searching the relevance storage means using the ID of the document file as a key, specifying a search keyword associated with the document file, and referring to the relevance storage means. A process for identifying other document files associated with the document, a process for generating a related document list in which the attributes of each document file are listed, and a process for generating a screen for displaying the contents of the related document list and the specific document And a process of outputting this screen.
The above-mentioned “output screen” includes not only directly displaying on a display but also transmitting a screen generated by a server to a client terminal via a network (the same applies hereinafter).

  The related document presentation system according to claim 2 is the system according to claim 1, and further stores related point data in which a predetermined rating point is associated with a combination of a document file ID and a search keyword. Related point storage means, and when generating the related document list, a process for calculating the total of rating points for each combination of document file ID and search keyword with reference to the related point storage means, It is characterized by executing a process for generating a related document list in which related documents are arranged in descending order.

  The related document presentation system according to claim 3 is the system according to claim 2, and further, when a browsing request for the specific document in the search result list is input, the ID of the document file, the search keyword, The related point data in which a predetermined rating point is associated with each combination is generated and stored in the related point storage means.

  The related document presentation system according to claim 4 is the system according to claim 2 or 3, and further, when a request to view a specific related document in the related document list is input, It is characterized in that related point data in which a predetermined rating point is associated with a combination of an ID and a search keyword is generated and stored in the related point storage means.

  The related document presentation system according to claim 5 is the system according to claims 2 to 4, wherein the document file is inputted when a browsing request for a specific document in the search result list or the related document list is input. Extraction of the corresponding document file from the storage means, generation of a screen for displaying the contents, processing for outputting this screen, and measurement of browsing time at the same time as the screen output, and a predetermined browsing end operation by the user The process of determining the browsing time at the time of detecting the point, the process of identifying the rating point with reference to the point conversion table in which the correspondence between the browsing time and the rating point is defined, the ID of the document file, the search keyword, Related point data in which the rating points are associated with a combination of the above, and the related point storage means It is characterized by performing the process of storing.

  The related document presentation system according to claim 6 is the system according to claims 2 to 5, and further, when the browsing request for the specific document in the search result list or the related document list is input, the document file Extracting the relevant document file from the storage means, displaying its contents, generating a screen describing a plurality of options for asking the importance of the document, processing for outputting this screen, specific processing When answer data for selecting an option is input, the point conversion table in which the correspondence between each option and the rating point is defined is referred to, the process for identifying the rating point, the ID of the document file, the search keyword, The related point data in which the above-mentioned rating points are associated with the combination is generated and stored in the related point storage means It is characterized in that to perform the physical.

  A related document presentation system according to a seventh aspect is the system according to the first to sixth aspects, further comprising non-link target storage means for previously storing a keyword that should be excluded from association, and the search keyword is Extraction is performed only when the search keyword is not a non-linkable keyword and the process for determining whether or not the search keyword is a non-linkable keyword by referring to the non-linkable storage means when input. A process of storing association data composed of a combination of the ID of each document file and a search keyword in the association storage means is executed.

  A related document presentation system according to an eighth aspect is the system according to the first to seventh aspects, wherein a search keyword corresponding to each related document is described in the related document list.

  The related document presentation program according to claim 9, wherein the computer stores a document file storage unit storing a plurality of document files, and a relationship storage unit storing association data composed of combinations of document file IDs and search keywords. When a search keyword is input, means for extracting a document file containing the search keyword in the text from the document file storage means, and a screen including a search result list in which attributes of each extracted document file are listed. Means for generating, means for outputting this screen, means for storing association data comprising a combination of the ID and search keyword of each extracted document file in the relation storage means, and a specification stored in the document file storage means When a document viewing request is input, a means for extracting the corresponding document file, the document file Search the relevance storage means by using the file ID as a key, specify a search keyword associated with the document file, refer to the relevance storage means, and select another document file associated with the search keyword. A means for specifying, a means for generating a related document list in which attributes of each document file are listed, a means for generating a screen for displaying the contents of the related document list and the specific document, and a means for outputting the screen It is characterized by.

The related document presenting system described in claim 1 and the related document presenting program described in claim 9 are based on the assumption that a search keyword includes a user's intention and interest, and a search input by a user. If multiple documents are associated based on keywords, and there is a browsing request from the same user or another user for one of the documents, the contents of the document are displayed and the remaining associations are displayed. A list of documents is also displayed. As described above, by using the search result of the preceding user, other users can comprehensively browse a plurality of documents connected with unexpected relevance without being aware of the search keyword.
In addition, since the association between documents is automatically processed with the input of a search keyword without going through intentional / artificial association work, documents with a huge number of articles such as posts posted on bulletin boards and blog articles Files can be effectively associated with each other.

  In the related document presentation system according to claim 2, rating points are registered for each combination of the related document and the search keyword, and when generating the related document list, the related documents are sorted in descending order of the total points. Since it has a mechanism, it is possible to place related documents with higher importance at the top of the list by devising a method for assigning rating points.

In the related document presentation system according to claim 3, when a search user requests browsing of a specific document from a search result list, a rating point is given to the combination of the document and the search keyword, and the related document When the list is generated, a related document is sorted in descending order of the total points.
The document that the search user himself requested to browse from the search result list can be estimated to be particularly important among the related documents. The user can selectively browse related documents with higher importance.

  5. The related document presentation system according to claim 4, wherein when a search user or another user requests browsing of a specific related document from the related document list, a rating point is given to the combination of the document and the search keyword. Is provided. Since it can be presumed that the document that the user requested to browse from the related document list is relatively important among the related documents, by giving a rating point to this and raising the rank in the related document list, other users Can selectively browse related documents with higher importance.

  In the related document presentation system according to claim 5, when a search user or another user requests browsing of a specific related document from the related document list, the browsing time of the document is measured, and the browsing time is measured. There is a mechanism in which different rating points are given to combinations of related documents and search keywords according to the length of the. In general, it can be estimated that a document with a longer browsing time by a user has a higher importance. Therefore, by assigning a higher rating point to the document and raising the ranking in the related document list, other users can select a document with a higher importance. You can selectively browse.

  In the related document presentation system according to claim 6, when a search user or another user requests browsing of a specific related document from the related document list, an option asking about the importance of the related document is displayed. In addition, there is a mechanism capable of giving different rating points to combinations of related documents and search keywords according to the level of importance indicated by the answer data. For this reason, it becomes possible to reflect evaluation of a preceding user in the order of a related document list, and other users can selectively browse a document with higher importance.

  According to the related document presentation system recited in claim 7, when the search keyword input by the user corresponds to a non-target keyword registered in advance in the non-link target storage unit, registration of the association data is skipped. It has a mechanism to be done. As a result, documents are related to each other based on meaningless search keywords that do not seem to have the user's intention and interest like simple “A”, “A”, and “1”. Can be effectively avoided.

  According to the related document presentation system described in claim 8, the search keyword that links the related document and the specific document is displayed for each related document listed in the related document list. And the relationship between each related document can be recognized at a glance.

  FIG. 1 is a block diagram showing a functional configuration of a related document presentation system 10 according to the present invention, in which a data management unit 12, a document file storage unit 14, a search execution table 16, a relevance table 18, and related points are shown. A table 20 and a non-link target table 22 are provided.

A web server 24 is connected to the system 10, and the web server 24 is connected to a plurality of client terminals 28 via a network 26 such as the Internet or an intranet.
The Web server 24 has a function of providing an SNS service to each client 28 via the network 26. Here, “SNS” is an abbreviation for Social Networking Service, which forms a closed community on the website and enables posting on bulletin boards and mutual browsing of diaries. Text files such as articles and diaries posted by members are accumulated in the document file storage unit 14 via the data management unit 12.

The data management unit 12 is realized by the CPU of the server computer executing necessary processes according to the OS and a dedicated application program.
The document file storage unit 14, the search execution table 16, the relevance table 18, the related point table 20, and the non-link target table 22 are stored in the hard disk of the computer.

  In the search execution table 16, as shown in FIG. 2A, data items of a search execution serial number, a search keyword, a search date, and a search execution user ID are set. In the relevance table 18, as shown in FIG. 2 (b), data items of a search keyword, a related document ID, and a registration date / time are set. In the related point table 20, as shown in FIG. 2 (c), data items such as a search keyword, a related document ID, a browsing user ID, a rating point, and a registration date and time are set. Further, as shown in FIG. 2D, data items of non-target keywords, registration date and time, and registered user ID are set in the non-link target table 22 described above.

Next, in accordance with the flowchart of FIG. 3, an association process between documents in the system 10 will be described.
First, when a user logs in to an SNS service provided by the Web server 24, enters an arbitrary character string (for example, “patent”) into a keyword input field (not shown) for article search, and clicks the search button, the client A search request is transmitted from the terminal 28 to the Web server 24.

  The data management unit 12 that has received this search request via the Web server 24 (S10) registers the search execution contents (S12). Specifically, a record including a search execution serial number, a search keyword, a search date and time, and a search execution user ID is added to the search execution table 16.

  Next, the data management unit 12 extracts a document file including the character string “patent” in the text from the document file storage unit 14 (S14), and the title, creator, creation date, etc. of each document file The listed list is generated and transmitted to the client terminal 28 via the Web server 24 (S16).

At the same time, the data management unit 12 generates association data and registers it in the association table 18 (S18).
FIG. 4 shows an example of association data, in which “patent” is described in the data item of the search keyword, and the ID of each extracted document file is described in the data item of the related document ID. Yes.

The data management unit 12 refers to the non-link target table 22 when generating the association data, and checks whether or not the current search keyword corresponds to a pre-registered non-target keyword.
In other words, in the non-link target table 22, a large number of non-target character strings to be ignored are registered in advance as simple keywords such as “A”, “A”, and “1”, and the user can search for them. When the keyword input as the target matches these non-target keywords, the association data registration process is skipped.
As a result, it is possible to prevent the association data from being registered even for meaningless keywords such as erroneous input or trial input by the user.

In the client terminal 28 that has received the search result list from the Web server 24, the search result list is displayed on the Web browser.
When the user clicks on the title of a specific document in the list, a browsing request for the document is transmitted from the client terminal 28 to the Web server 24.

The data management unit 12 that has received this browsing request via the Web server 24 (S20) registers a rating point in the related point table 20 (S22). Specifically, a record describing a search keyword, a related document ID (ID of a document requested to be viewed by the user), a browsing user ID, a predetermined rating point, and a registration date and time is generated and added to the related point table 20 .
For example, 1 point is given as the rating point.

Next, the data management unit 12 extracts the text file of the requested document from the document file storage unit 14, and transmits it to the client terminal 28 via the Web server 24 (S24).
As a result, another window of the Web browser is opened on the client terminal 28, and the entire text of the document file is displayed.

Next, the data management unit 12 starts measuring the browsing time of the document by the user (S26), and determines the browsing time when a predetermined browsing end operation is detected (S28).
For example, at the time of detecting an event transmitted from the client terminal 28 indicating that the user has returned from the full-text display screen of the document to the original document list screen, the data management unit 12 can view the document by the user. Judge that it is finished.

  Next, the data management unit 12 applies the browsing time by the user to the point conversion table and specifies the rating point (S30). In this conversion table, as shown in FIG. 5, the correspondence between viewing time and points is defined. For example, when the current viewing time is 10 minutes, 15 points are recognized.

  Next, the data management unit 12 registers a rating point corresponding to the browsing time in the related point table 20 (S32). Specifically, as described above, a record describing the search keyword, the related document ID (the ID of the document viewed by the user), the ID of the browsing user, the current rating point, and the registration date and time is generated and stored in the related point table 20. to add.

  As described above, each time each user requests a search for a document file, the data management unit 12 executes a search process and simultaneously associates each document file listed as a search result with the search keyword. Is executed. Therefore, it is naturally possible that one document file is associated with a plurality of search keywords.

  Further, although it is expected that the same search keyword is repeatedly input by a plurality of users, the data management unit 12 overwrites and registers the association data each time and updates the registration date and time. Therefore, there is no duplicate record consisting of “same search keyword × same related document ID”.

Next, according to the flowchart of FIG. 6, a related document presentation process in the system 10 will be described.
First, when a user logs in to an SNS service provided by the Web server 24 and clicks on the title of a diary written by another member, a browsing request for the document is transmitted from the client terminal 28 to the Web server 24.

  The data management unit 12 that has received this browsing request via the Web server 24 (S50) extracts the text file of the specific document selected by the user from the document file storage unit 14 (S52).

  Next, the data management unit 12 searches the relevance table 18 using the ID of the specific document as a key, and acquires one or a plurality of search keywords associated with the document (S54).

  Next, the data management unit 12 searches the relevance table 18 using each acquired search keyword as a key, and acquires IDs of other documents (related documents) associated with each search keyword (S56).

Next, the data management unit 12 refers to the related point table 20, totals the rating points for each search keyword of each related document, calculates the total (S58), and searches each related document in descending order of rating points. Align by keyword (S60).
Next, the data management unit 12 generates a list listing the titles, creators, creation dates, etc. of each related document (S62).

  The specific document file and the related document list of the document are formed into a Web file for a document display screen by the Web server 24 and transmitted to the client terminal 28 (S64).

FIG. 7 shows an SNS web page displayed on the web browser of the client terminal 28, and the document display column 30 provided in the central portion displays the full text of the specific document requested by the user to browse. ing. Further, on the right side, a related document list 32 listing the titles, creators, and creation dates of documents related to the document is displayed.
In addition, since a search keyword (here, “patent”) is displayed in each related document, the user associates the currently displayed specific document with each related document by sharing the keyword “patent”. Can recognize the fact that

  Here, when the user clicks on one title in the related document list 32, a request for browsing the related document is transmitted from the client terminal 28 to the Web server 24.

  The data management unit 12 that has received the browsing request for the related document via the Web server 24 (S66) searches the related point table 20 for the search keyword, the ID of the related document requested by the user, the ID of the user, the predetermined ID. A record consisting of a rating point and registration date is added (S68). In this case, for example, 1 point is given as a rating point.

Next, the data management unit 12 extracts the text file of the requested related document from the document file storage unit 14, and transmits it to the client terminal 28 via the Web server 24 (S70).
As a result, another window of the Web browser is opened on the client terminal 28, and the entire text of the related document file is displayed.

Next, the data management unit 12 starts measuring the browsing time of the related document by the user (S72), and determines the browsing time when a predetermined browsing end operation is detected (S74).
For example, the fact that the user has returned from the related document full-text display screen to the screen on which the original related document list was displayed is transmitted from the client terminal 28, and the user has returned from the full-text display screen of the document to the original document list screen. When an event indicating that the process has returned to is detected, the data management unit 12 determines that browsing of the related document by the user has ended.

  Next, the data management unit 12 applies the browsing time by the user to the point conversion table of FIG. 5 and specifies the rating points (S76). For example, if the current browsing time is 3 minutes, 5 points are recognized.

  Next, the data management unit 12 registers a rating point corresponding to the browsing time in the related point table 20 (S78).

  This time, as a result of the user's browsing of the related document, the rating point related to the search keyword “patent” of the related document is increased, and next time, another user displays any document that includes the keyword “patent”. In this case, the updated rating point is reflected, and the rank in the related document list 32 is increased.

  In FIG. 7, only a list of related documents associated with the search keyword “patent” is displayed. However, when the document being viewed is associated with another document via a plurality of search keywords. A related document list is displayed for each search keyword.

At this time, the number of related documents is initially displayed for each search keyword, and when the user selects a specific search keyword, the related document list related to the search keyword can be expanded.
Alternatively, instead of displaying the related document list separately for each search keyword, a list in which all related documents are mixed in descending order of rating points may be displayed. Also in this case, since the corresponding search keyword is clearly specified for each related document, the user can recognize the relationship between the document being browsed and the related document.

  In the above, an example in which different rating points are given according to the length of time of browsing related documents by the user has been shown, but the method of giving rating points is not limited to this.

For example, as shown in FIG. 8, a questionnaire column 34 for asking questions about the importance of related documents is provided below the document display column 30, and the user who browses is asked “1. Very helpful / 2. The evaluation may be selected from the options of “3. 3. Normal / 4. Not much helpful / 5. Not at all related”.
In this case, the data management unit 12 applies the questionnaire response data transmitted from the client terminal 28 to the point conversion table to identify the rating points.

In the example of the figure, “5. Not related at all” is selected, so the data management unit 12 registers the rating point of “−10” points in the related point table 20. As a result, the total rating point of the document decreases, and the rank in the related document list 32 at the next display time decreases.
On the other hand, when the user selects “1. Very helpful”, the data management unit 12 registers a rating point of “10” points in the related point table 20. As a result, the total rating point of the document increases, and the ranking in the related document list 32 at the next display time increases.

The data management unit 12 periodically performs a search process on the document file in the document file storage unit 14 based on the existing search keyword registered in the relevancy table 18, and adds a new record to the relevance table 18. Execute the process to add.
As a result, the document file generated later is also associated with the existing search keyword.

It is a block diagram which shows the function structure of the related document presentation system which concerns on this invention. It is a figure which shows the data item of a search implementation table, a relevance table, a related point table, and a link exclusion table. It is a flowchart which shows the correlation process between documents. It is a figure which shows the specific example of the record registered into the relevance table. It is a figure which shows the specific example of a point conversion table. It is a flowchart which shows the presentation process of a related document. It is a figure which shows an example of the web page provided with the document display column and the related document list. It is a figure which shows the specific example of a questionnaire column and a point conversion table.

Explanation of symbols

10 Related document presentation system
12 Data Management Department
14 Document file storage
16 Search execution table
18 Relevance table
20 Related point table
22 Unlinked table
24 Web server
26 network
28 Client terminal
30 Document display field
32 List of related documents
34 Questionnaire

Claims (9)

Document file storage means for storing a plurality of document files;
Relevance storage means for storing association data consisting of a combination of a document file ID and a search keyword,
A process of extracting a document file containing the search keyword in the text from the document file storage means when a search keyword is input;
A process for generating a screen including a search result list in which attributes of each extracted document file are listed;
Processing to output this screen,
Processing for storing association data consisting of a combination of the ID of each extracted document file and a search keyword in the association storage means;
A process of extracting a corresponding document file when a browsing request for a specific document stored in the document file storage unit is input;
A process of searching the relevance storage means using the ID of the document file as a key, and specifying a search keyword associated with the document file;
A process of referring to the relevance storage means and specifying another document file associated with the search keyword;
Processing to generate a related document list in which attributes of each document file are listed;
Processing for generating a screen for displaying the contents of the related document list and the specific document;
Processing to output this screen,
The related document presentation system characterized by performing this. Relevant point storage means for storing related point data in which a predetermined rating point is associated with a combination of a document file ID and a search keyword,
When generating the related document list, referring to the related point storage unit, a process of calculating the total of rating points for each combination of the document file ID and the search keyword;
The related document presentation system according to claim 1, wherein a process for generating a related document list in which related documents are arranged in descending order of rating points is executed.   When a request for browsing a specific document in the search result list is input, related point data in which a predetermined rating point is associated with a combination of the ID of the document file and a search keyword is generated, and the related point storage is performed. The related document presentation system according to claim 2, wherein the processing stored in the means is executed.   When a browsing request for a specific related document in the related document list is input, related point data in which a predetermined rating point is associated with a combination of the ID of the related document file and a search keyword is generated, and 4. The related document presentation system according to claim 2 or 3, wherein a process of storing in the related point storage means is executed. When a request to browse a specific document in the search result list or the related document list is input, a process of extracting a corresponding document file from the document file storage unit and generating a screen for displaying the contents;
Processing to output this screen,
A process of starting browsing time simultaneously with the screen output and determining the browsing time when detecting a predetermined browsing end operation by the user;
A process for identifying a rating point by referring to a point conversion table in which the correspondence between browsing time and rating point is defined,
5. A process of generating related point data in which the rating point is associated with a combination of an ID of the document file and a search keyword, and storing the related point data in the related point storage unit. The related document presentation system according to any one of the above. When a browsing request for a specific document in the search result list or related document list is input, the corresponding document file is extracted from the document file storage means, the contents are displayed, and the importance of the document is determined. Processing to generate a screen describing multiple options to be asked;
Processing to output this screen,
When answer data for selecting a specific option is input, a process for identifying a rating point by referring to a point conversion table in which a correspondence between each option and a rating point is defined;
6. A process of generating related point data in which the rating point is associated with a combination of an ID of the document file and a search keyword, and storing the related point data in a related point storage unit is executed. The related document presentation system described in any one. A non-link target storage means for storing keywords to be excluded from association in advance;
A process of determining whether or not the search keyword corresponds to a non-linkable keyword by referring to the non-linkable storage means when a search keyword is input;
The process of storing association data consisting of a combination of an ID of each extracted document file and a search keyword in the association storage means only when the search keyword does not correspond to a non-linkable keyword. The related document presentation system in any one of 1-6.   8. The related document presentation system according to claim 1, wherein a search keyword corresponding to each related document is described in the related document list. Computer
A document file storage means for storing a plurality of document files;
Relevance storage means for storing association data consisting of a combination of a document file ID and a search keyword,
Means for extracting a document file containing the search keyword in the text from the document file storage means when a search keyword is input;
Means for generating a screen including a search result list in which attributes of each extracted document file are listed;
Means to output this screen,
Means for storing association data comprising a combination of an ID of each extracted document file and a search keyword in the association storage means;
Means for extracting a corresponding document file when a browsing request for a specific document stored in the document file storage means is input;
Means for searching the relation storage means using the ID of the document file as a key, and specifying a search keyword associated with the document file;
Means for referring to the relevancy storage means and identifying other document files associated with the search keyword;
Means for generating a related document list in which attributes of each document file are listed;
Means for generating a screen for displaying the related document list and the contents of the specific document;
Means to output this screen,
The related document presentation program characterized by making it function as.

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